Zenzero | Lead Azure Cloud Engineer

Zenzero

1 year ago

Applications closed

Azure Lead Cloud Engineer

Like the look of this opportunity Make sure to apply fast, as a high volume of applications is expected Scroll down to read the complete job description.

As a Lead Azure Cloud Engineer you will play a pivotal role in our Data & Development Services capability, working closely with our data and software engineers to create robust, secure, scalable solutions. Leveraging your technical skills across the Azure platform, you will design, build, and optimise solutions for our customers, owning our approach to implementing networking, CI/CD, and security functionality.

Key Responsibilities:

Designing and implementing our customers’ Azure infrastructure, including provisioning, configuration, performance monitoring, policy governance and security.
Ensuring cloud infrastructure meets performance, security, and other non-functional requirements.
Migrating clients’ existing on-premises infrastructure services to Azure.
Building out our internal Azure sandbox tenant to enable proofs of concept and hosting of our industry accelerators and demonstrators.
Providing Azure technical expertise and guidance to our data engineers and 365 engineers.
Staying abreast of industry trends, best practice, and new features within Azure and the wider platform engineering discipline to keep Zenzero’s offering up-to-date.

Cloud Engineering Lead

Typical Cloud Engineering tasks:

Instantiating Azure services, with a focus on data (e.g. Azure Data Factory, Azure Synapse, Azure Data Lake, Azure SQL, Azure Databricks, Azure Machine Learning)
Designing network architecture for client’s Azure tenants
Configuring and administrating Service Principals, users, and groups
Creating VNets and Private Endpoints
Setting up performance monitoring and trouble-shooting issues
Creating subscriptions with appropriate cost-control measures in place
Designing and building CI/CD pipelines and version control
Building and maintaining our internal tooling and processes

We do not expect you to be an expert in all areas and we understand that experiences vary based on the background and years of experience

Below we list some of the skills we are looking for.

An inquisitive approach to technology and problem solving
Expertise in cloud infrastructure and networking
Sound knowledge of design principles and an interest in developing robust solutions
Experience in working across a range of tools and services across the Azure stack
Strong interpersonal skills and able to develop good working relationships with internal and customer stakeholders
Comfortable with a degree of ambiguity in customer requirements and the ability to make decisions based on limited information
Excellent written and verbal communication skills and communicate complex technical information to both technical and non-technical colleagues

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Feb 3, 2026

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Jan 29, 2026

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

Jan 24, 2026

Education

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.